We propose a novel approach to point matching under large viewpoint and illumination changes that is suitable for accurate object pose estimation at a much lower computational cos...
This paper describes a similarity measure for images to be used in image-based localization for autonomous robots with low computational resources. We propose a novel signature to ...
Alberto Pretto, Emanuele Menegatti, Enrico Pagello...
Several fast sequential algorithms have been proposed in the past to multiply sparse matrices. These algorithms do not explicitlyaddresstheimpactofcachingonperformance. We show th...
Memetic algorithms usually employ long running times, since local search is performed every time a new solution is generated. Acceleration of a memetic algorithm requires focusing ...
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...